An overview of the applications of deep learning for ophthalmic diagnosis using retinal fundus images is presented. We describe various retinal image datasets that can be used for deep learning purposes. Applications of deep learning for segmentation of optic disk, optic cup, blood vessels as well as detection of lesions are reviewed. Recent deep learning models for classification of diseases such as age-related macular degeneration, glaucoma, and diabetic retinopathy are also discussed. Important critical insights and future research directions are given.

中文翻译：

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使用眼底图像深度学习进行眼科诊断-一项重要评论。

概述了深度学习在使用视网膜眼底图像的眼科诊断中的应用。我们描述了可用于深度学习目的的各种视网膜图像数据集。综述了深度学习在视盘，视杯，血管的分割以及病变检测中的应用。还讨论了用于分类与年龄相关的黄斑变性，青光眼和糖尿病性视网膜病等疾病的最新深度学习模型。给出了重要的重要见解和未来的研究方向。